223results about How to "Overcome speed" patented technology

The invention discloses a data verification method based on block chains and a data verification system thereof. The data verification method comprises the steps that the sensing data of the environment and/or household equipment state are acquired through multiple wireless sensor nodes of a wireless sensor network and processed and then uploaded to a data repeater; the data repeater receives the processed sensing data and then forwards the sensing data to a data verification network; multiple data verification nodes in the data verification network are responsible for verifying and saving the sensing data; and all the data verification nodes are block chain nodes, and multiple data verification nodes form a distributed database. The data verification task is completed by using the data verification nodes, and the verification work is distributed to the verification nodes from the data repeater so that the problems of being low in verification efficiency, low in speed, high in transmission delay and vulnerable because of the excessively centralized verification task can be overcome, and the nodes are excited to actively authenticate the data and rapidly complete the verification task so that the whole verification system is not influenced by single node failure of any node.

The invention discloses a multi-band structure self-adaptive filter switching method for AEC (acoustic echo cancellation). Firstly, a far-end voice signal is acquired; a voice endpoint is detected, and a VAD (voice activity detection) flag bit and an improved envelope decision threshold are output; the voice signal is fed into a loudspeaker to serve as a desired signal and also input into a self-adaptive filter; the self-adaptive filter adopts a switchable multi-band structure and a corresponding self-adaptive algorithm, parameters of the filter are adjusted by use of the least mean square criterion according to feedback information, and the optimal solution is obtained. According to the provided switching method, voice characteristics are considered sufficiently under the condition that steady maladjustment is guaranteed, and optimized configuration of the convergence rate and the algorithm complexity is realized while advantages of the algorithm in the convergence rate are utilized. During actual application of echo cancellation, a single algorithm does not easily meet various variable demands. The variable switching algorithm provides more probability for a user and has great significance in application of self-adaptive echo cancellation.

An open natural gas leakage multiplex inspecting method and optical channel configuration, based on semiconductor laser absorbing spectrum method, relates to master case and open long optical channel system. The master case sets with electrical source socket, switch, fan, optical fiber linker and data transmission interface. The master case owns closed infrared semiconductor laser, semiconductor laser controller, phase-locked amplifier,signal generator,data collection disposal and control module, light switch, light switch driving circuit and infrared detector and connects with the locale optics system by optical fiber. Open optical system relates to integral optics telescope and more component angle reflector array and the former owns import optical fiber coupling implement and output optical fiber coupling implement. It achieves the time-sharing inspect of more gas component and more multiplex based on optical fiber distributing configuration of the light switch technology.

The invention provides a vehicle detection method used for traffic monitoring. The vehicle detection method comprises the steps that S1, firstly a collected traffic monitoring image is split into upper and lower parts, the vehicle of the upper half of image is away from a monitoring camera and the vehicle is in the small and blurred state, the vehicle of the image is cut and vehicle type information is marked so as to form a first training sample set; and the vehicle of the lower half of image is near the monitoring camera, the vehicle is in the large and clear state, and the vehicle type information and position information are directly marked in the lower half of image so as to form a second training sample set; S2, a convolutional neural network is constructed and trained; S3, a YOLO neural network is constructed and trained; and S4, the result is outputted by combining the convolutional neural network and the YOLO neural network, and the vehicle in the complete traffic monitoring image is detected. The disadvantages of low detection speed of the detection convolutional neural network and low recall rate of the YOLO neural network can be simultaneously overcome so as to rapidly and accurately detect the vehicle in traffic monitoring.

The invention discloses a photocuring and thermocuring conductive adhesive, which is prepared by mixing photosensitive high polymer, diluent monomer, conducting particles, photoinitiator, polymerization inhibitor, epoxy resin, epoxy active diluting agent, latent curing agent and latent promoting agent, grinding the mixture, and stirring and dispersing in a planetary manner. The curing temperature of the product is low, and deep curing can be realized; after being cured, the adhesive has high adhesiveness and high solvent resistance; and the adhering strength is high, the resistivity is low, and the requirements of microelectronic packaging technique for LED chips, liquid crystal materials, glass substrates, thin film circuits, PCB circuit boards and the like can be met.

This invention relates to nonvelocity sensor permanent-magnet synchro-motor-air conditioning compressor system. It is characterized by that nonvelocity sensor vector control is used for permanent-magnet synchromotor, so, overcoming the shortcoming of the large rotating speed pulsation. At the same time, the torque command current composite control method is used to make further lowering rotating speed pulsation of the motor. It overcomes the problem of unsatability of the system during the procedure of regulating PI regulator parameter in traditional vector control system.

The invention provides a composite mobile robot with wheel-track legs. The composite mobile robot comprises a frame, track arms, support legs and a wheeled elevating mechanism, wherein the track arms are connected with the frame through an inner shaft and an outer shaft, the four sets of the track arms are symmetrically distributed at four corners of the frame; the support legs are connected with the frame through a support leg transmission shaft, and the two support legs are symmetrically distributed in front of and behind the frame; the wheeled elevating mechanism is connected with the frame through a connecting plate, and is arranged at the middle part of the frame. According to the composite mobile robot disclosed by the invention, motors are used for driving the track arms, the support legs and the wheeled elevating mechanism to move, so that the robot has different postures, the composite motion manner of wheels, tracks and legs is realized, and the obstacle surmounting capacity is greatly improved.

The invention relates to a preparation method of a halogen-free flame-retardant polyurethane (PU) sealant. The preparation method comprises the following steps: dewatering and drying the following materials, namely a filler, a thixotropic agent, a halogen-free flame retardant, a flame-retardant synergist, a plasticizer, a light stabilizer and an antioxidant in vacuum; stirring a PU prepolymer and the materials for dispersion in a double planet mixer with a high-speed dispersion disk or a tri-roller grinder at the temperature of 30-50 DEG C for 2-5 hours under the condition that the vacuum degree is not less than 0.092Mpa; under normal pressure and protection of high-purity nitrogen, adding a catalyst A, a silane adhesion promoter and a water scavenger, and stirring for 0.1-1 hour for dispersion; and removing small molecules and stirring for 0.3-1 hour under the condition that the vacuum degree is not less than 0.092Mpa to finally obtain the halogen-free flame-retardant PU sealant. The halogen-free flame-retardant PU sealant effectively overcomes the disadvantages of the PU sealant such as big flame, fast burning speed, severe drippage and the like in the prior art on the premise of ensuring the original physical properties of the PU sealant, thus the PU sealant has the advantages of flame retardance, no drippage during the burning process, good adhesive property and the like.

The invention discloses a non-intrusive fuel cell fault diagnosis method. The method comprises fault diagnosis classifier establishing and fault diagnosis testing. The fault diagnosis classifier establishing comprises the following steps of taking the actual operation data of a fuel cell as an original data set extraction diagnosis variable; preprocessing the diagnosis variable; training preprocessed data through an ELM learning algorithm and screening a clustering result which is the same with an actual fault label as a fault sample set; and through an ELM model, learning the fault sample setand outputting an ELM classification model so as to form a fault diagnosis classifier. The fault diagnosis testing comprises the following steps of detecting the data to be diagnosed of the fuel cell; through the data to be diagnosed, establishing a test sample; and sending the test sample into the ELM classification model for testing and outputting a test result. In the invention, the fault diagnosis of the fuel cell can be performed in a non-intrusive mode, and the timeliness, the reliability and the accuracy of fuel cell fault diagnosis are effectively increased.

The invention discloses a microwave drying PID (proportion integration differentiation) control method based on an increment improved BP (back propagation) neural network, selecting a three-layer BP neural network as a protomodel and combining incremental learning, an L-M (Levenberg-Marquardt) optimization algorithm, a BP neural network and PID control to realize online adjustment of PID control parameters. The method comprises the following steps: firstly carrying out offline system identification on a neural network by adopting the actual production data in a microwave drying process as training data, comparing the output value of the network with the measured value until the mean square error of network training meets the requirement, determining weight and threshold for each layer of the network, and carrying out online dynamic adjustment on the PID control parameters by taking parameters of a controlled object which are measured in the actual production process as the input of the neural network, wherein the output of the neural network is namely parameters of a PID controller Kp, Ki and Kd.

The invention provides an encryption and decryption mechanism and an internet of things lock system using the encryption and decryption mechanism. The encryption and decryption mechanism is a hybrid encryption and decryption mechanism. The internet of things lock system comprises an intelligent lock and a controller. Communication is performed between the intelligent lock and the controller. The controller is communicated with other internet of things equipment or internet terminals. The intelligent lock and the controller are respectively and internally provided with a safety module. The safety module is provided with an encryption and decryption function. Encryption and decryption operation of the safety modules is carried out on the information transmission between the intelligent lock and the controller. According to the invention, the internet of things lock system can be connected with other internet of things equipment or internets, a user is enabled to safely receive lock state information and remotely control the intelligent lock on equipment such as a PC, a notebook computer and a mobile phone, the safety performance is good, and the internet of things lock system can be widely applied to important places relatively high in safety requirement.

The new type nodal real-time gas densitymonitoring method and sensor has one near infrared DFB semiconductor laser and operates on the characteristic absorption of methane in the near infrared spectrum region. One monomode fiber power coupler is used in separating the laser beam into several beams led through fibers to fiber gas absorption cells in mine, and the laser beams through the absorbed gas are then led through fiber to the input optical switch. The selected signal through the calibrating cell is projected to the laser detector. By means of wavelength modulating technology and second harmonic detecting technology, the present invention realizes gas density measurement in high sensitivity, high resolution, no gas interference and fast response. Background light strength signal fitting method is adopted to eliminate the influence of light strength fluctuation on the measurement.

The invention discloses a method and a device for detecting cloth flaws based on adaptive orthogonal wavelet transform. Manual eye detection and an original automatic flaw detecting method in which wavelet transform is carried out after a wavelet basis is manually selected are replaced. The defects of traditional manual eye detection, such as low detection speed, low efficiency, false detection and high detection leaking rate are overcome. The problem of the original flaw detecting method based on wavelet transform that the detection precision is low as the wavelet basis is not optimized is solved. The optimal wavelet basis matched with a cloth texture is selected by an improved quantum rotating gate quantum genetic algorithm, the quantum rotating angle is regulated by a dynamic strategy, fine adaptive search is realized, the variety is enriched through introducing mutation operation, and the optimization capability of the algorithnm is improved through combining chaotic search. The flaw detecting method has the advantages of high speed, high accuracy, simplicity in operation and high efficiency and has great application prospects.

The invention relates to a load aggregate grouping forecasting method based on a gated circulation unit network, comprising the following steps: clustering user load data by using an adaptive distributed spectrum clustering algorithm, thereby obtaining a plurality of power consumption groups with similar load characteristics and obtaining load characteristic matrices of each group; Three GRU networks are constructed, and three GRU networks are trained by extracting the temporal characteristics of the population to obtain three GRU network forecasting models, and three GRU networks are fused bystochastic forest algorithm to obtain the load forecasting models of each population. The characteristics of the time to be forecasted are inputted into the load forecasting model, the load forecasting values of each group are obtained respectively, and the forecasted values of different groups are summed up to obtain the forecasted values of the final load aggregates. By introducing grouping prediction, depth neural network and model fusion method, the invention can grasp user load characteristic and variation rule, and has high prediction precision and strong applicability.

The invention discloses an automatic detection method for a large transfusion production line, including the following steps: 1, making a transfusion bottle filled with liquid medicine rotate in a high-speed, then rapidly stopping the transfusion bottle, so that the liquid medicine in the bottle has a self-rotating movement under the inertia; 2, picking-up a plurality of images of the transfusion bottle in which the liquid medicine is in a self-rotating state; 3, respectively digitally processing and mutually comparing to the plurality of images, distinguishing the exogenous impurity in the liquid medicine, in order to judge whether the bottle of liquid medicine is qualified. The invention also discloses an automatic detection apparatus for a large transfusion production line, which is characterized by including a rotation device, a controller, a video camera and an image processing apparatus, wherein, the output end of the controller is connected with the control terminal of the rotation device, a gripping device for fixing up the transfusion bottle, a rotating work station and a detecting work station are provided on the rotation device, and the video camera outputs data to the image processing apparatus. The invention can automatically detect whether impurity exists in the liquid medicine, with high testing accuracy and fast testing velocity.

A starlight simulator with high accuracy consists of light source system formed by concave lens and surface light source, star atlas analog computer being set with star atlas analog algorithm and basic star table for calculating out mapping positions of each navigation star on liquid crystal display system, frequency divider for dividing said mapping positions to different units, display unit for carrying out directly viewing display, liquid crystal display system for displaying distribution of fixed star, parallel light tube being used to set liquid crystal display system on its focal plane and being used to simulate parallel star light of infinite truly under specific visual field and shaft.

The invention discloses an energy-saving air-conditioning/hot water triple-supply system, comprising a compressor (1), a hot water heat exchanger (4), an air heat exchanger (6), an air conditioning heat exchanger (10) and other parts; using main components of a heat pump system, the system adopts a structure with three heat exchangers interconnected in a mixed manner and double four-way reversing valves and has four working modes including refrigeration and water heating, water heating, heating and water heating, and defrosting, thus the triple supply of refrigeration, heating and clean hot water can be realized; the system has high heat exchange efficiency and simultaneously enhances energy efficiency ratio of system as well; by adopting the heat pipe exchangers, the system solves the problem that the heat exchanger is liable to leakage so as to pollute water, and overcomes the deficiency of large resistance when a plurality of heat exchangers are connected with each other in series.

The invention relates to an anisotropic reverse time migration method for a quasi-P wave equation in a transverse isotropy with a vertical axis of symmetry (VTI) medium. The method comprises the following steps of: (1) performing discrete differentiation on a first-order quasi-P wave equation in a two-dimensional VTI medium and a perfect matched layer (PML) absorption layer boundary equation by adopting staggered meshes to obtain high-order difference formats of forward continuation and reverse continuation of the two equations; (2) performing numeric calculation to obtain a forwards-continued wave field of a shot point and a reverse time continued wave field of a receiver point, and performing normalized correlation operation on the two wave fields to obtain a migration imaging result of each imaging point in a model; and (3) extracting common imaging point gathers from migration results to obtain a final migration profile. By the method, a problem about the migration imaging of intensive transverse speed variation and a high dip angle stratum can be solved; and the influence of anisotropy of the medium is also taken into account, and the good imaging effect of longitudinal wave data acquired from an anisotropic region can be achieved by an anisotropy-theory-based migration method.

This invention relates to a packet inquiry method for SNMP proxy multiple variables, which defines the data structure of a SNMP proxy management information library based on the files, analyses SNMP messages, variables and processes them to design their state and the air working state and packet the un-processed variable based on the message operation kinds of the SNMP messages, dispatches the obtaining values of the objects in the packets, inquires data based on the information of the objects and the variable index values in the management information library to bind values of the variables if the enquiry is successful and mark the variables a processed state and processes them to design the variable state and working state if it is not successful and repeates the above steps till all of their working states are processed.

The invention discloses a multi-agent genetic clustering algorithm-based image segmentation method, which mainly solves the problems that the prior art is sensitive to an initial clustering center, has low convergence rate and is easily trapped in a local extremum. In the method, image clustering segmentation is converted into a global optimization problem. The method comprises the following steps of: firstly, extracting two-dimensional gray scale information of a neighborhood median and a neighborhood mean of pixel points of an image to be segmented to construct a new two-dimensional histogram; secondly, combining a multi-agent genetic algorithm (MAGA) with a fuzzy C-mean (FCM) clustering algorithm and obtaining an optimal clustering center and a membership degree matrix by using the global optimization capability of the MAGA; and finally, outputting clustering tags according to the maximum membership degree principle so as to realize image segmentation. The method has high anti-noise capability and high convergence rate, can improve the image segmentation quality and the stability of a segmentation result and can be used for extracting and identifying image targets.

The invention discloses a heavy metal precipitator. It conquers the disadvantages of low utilization factor of raw material, and weak complexation ability, incompact wadding and slow speed to deposit existed in the heavy metal precipitator in existing.Especially for the stability complexation heavy metal ion wasting water, it can remove stability heavy metal ion. Moreover, it has decolor function and can be used in the process for heavy metal ion.

The invention discloses an automatic film label indexing method and an automatic indexing system. The automatic film label indexing method mainly comprises the steps that semantic film labels are generated and a semantic film metadata specification frame is formulated; an automatic film label indexing system is established, wherein the automatic film label indexing system generates and fills film transmission feature information semantic label vector codes into a semantic film label library according to the semantic film metadata specification frame. Accordingly, the shortcoming that manual indexing cost is very high, the indexing speed is low and the indexing is not suitable for online and real-time data information in the prior art is overcome, and the advantage 'personalized content-oriented active service' of network information resources is achieved, and the advantage of comprehensive, accurate and efficient indexing of a large quantity and a variety of film information having strong dynamic nature is achieved.

The invention discloses a cast-in-place steel-concrete composite beam, which relates to a composite beam. The cast-in-place steel-concrete composite beam solves the problems that a reinforced concrete beam and a column connection node in the existing steel structure and the existing steel-concrete composite structure have complex structures and are difficult to construct, the problems that a common composite beam has a large steel consumption and a high structure manufacturing cost, and the problems that a composite beam of which the publication number is CN101215855 is complex in operation and is inconvenient to construct when connected with a reinforced concrete wall column, and has low bearing capacity, small rigidity, weak spanning capacity, large fracture width for tensile region concrete and small application range. Bottom flanges of two I-shaped steel beam sections of the cast-in-place steel-concrete composite beam and a tensile region steel plate are made into an integral body; a longitudinal steel plate ribbed stiffener is connected through a fire-resisting longitudinal bar; top flanges of the two I-shaped steel beam sections are connected through a tensile region longitudinal bar; stirrups are uniformly arranged along the longitudinal direction of the fire-resisting longitudinal bar; floor steel bars are paved on a stiffening framework of the composite beam; and concrete is poured on the floor steel bars and the stiffening framework of the composite beam. The cast-in-place steel-concrete composite beam is applied to civil engineering constructions.

An oxygen gas in-situ measurement method for infrared laser spectrum and a device thereof belong to the gas detection technical field. The device comprises a main case, an in-situ measurement module and a shielded transmission cable, wherein a power switch, a data transmission interface, a liquid crystal display screen, a power socket, a fan and a first cable interface are mounted on the main case; a data acquisition processing and controlling module, a direct current voltage-stabilized module, a signal filter and amplify circuit, a temperature control module, a current control module, a lock-phase amplifier and a modulation signal generator are arranged in the main case; the in-situ measurement module comprises a second cable interface, a calibration pool slot, a gas outlet fast plug interface, a gas inlet gas plug interface, a first spherical mirror, a second spherical mirror, a semiconductor laser, a quartz window flake, a tungsten steel support rod, an auxiliary lens base, an auxiliary lens, a main lens, a main lens base, a sealing cover and a photoelectric detector. The measurement method combines semiconductor laser adsorption spectrum, wavelength modulation and harmonic wave detection and open-type long optical path reflection adsorption pool. The invention has sensitive detection.

The invention discloses a rail vehicle positioning and speed detecting system based on a phi-OTDR. The rail vehicle positioning and speed detecting system based on the phi-OTDR comprises a phi-OTDR system main engine and an optical cable. The phi-OTDR system main engine is connected with the optical cable and is used for sending a pulsed optical signal, injecting the pulsed light signal into the optical cable, handling the Rayleigh scattering coherent light reflected back from the optical cable, and acquiring real time position information and speed information of train operation. The rail vehicle positioning and speed detecting system based on the phi-OTDR has the advantages that 1, the phi-OTDR is passive in the whole process, and free of influences of the electromagnetic field, and guarantees normal work in harsh environments such as thunder and lightning and the like; 2, due to the fact that the phi-OTDR is fully distributed, the monitoring distance can reach more than 100 km, the spatial resolution can reach the meter level, so that a train command and dispatching center can directly acquire the real time position information and speed information of a train through the phi-OTDR system main engine.

The sensor is a pair of planar electrodes in some interval formed on the inner surface of automobile glass via adhering, pressing, painting or plating conductor, and electrode pair constitutes one planar capacitor via glass and near dielectric space. When some rain drops or other foreign matter attach to the outer surface of the glass, there will be changes in the average dielectric constant, the area covered by the planar capacitor plates and the minor axis radius of the dielectric space and thus change in capacitance, and the intelligent adaptive signal amplifying and processing unit with microprocessor detects the change in capacitance and converts it into digital signal to drive the control unit of the automatic windscreen wiper system.

The invention discloses a mobile counter network resource discovery method introducing the vector position. The theory of polar coordinate position is introduced and divides the logic area of the whole cellular network according to the big attributive area, the distance and the direction and establishes a new routing table with 3D position vector information, thereby realizing functions of accurate and rapid position of the cellular network and the bi-directional seeking of the resource. The method covers the shortage that the prior algorithm can only seek the resource in one direction and reduces the network expenditure due to the frequent motion of nodes and so on; the introduction of the dynamic cellular manage mechanism realizes the dynamic allocation of the network resources, the interaction of the information between nodes of each stage well expresses the characteristics of the distributed counter network. The method realizes the hierarchical management of the network and the efficient resource discovery; the provided strategy of the vector positioning router is also suitable for the practical large-scale mobile counter network.

The invention discloses a method for preparing super active carbon by taking biomass power plant ash as a raw material. A particular preparation process is as follows: the biomass power plant ash is boiled by alkali and then is filtered to filter insoluble substances; a hydrochloric acid solution is added into the insoluble substances; impurity removal and water washing are carried out to obtain an active carbon precursor, namely residual carbon; the residual carbon is heated and activated in the atmosphere of water steam and CO2 to obtain a middle product; then the middle product and NaOH are mixed to be heated and activated in the atmosphere of N2; an activated product is washed and dried to obtain the super active carbon. The method takes wastes of a biomass power plant as raw materials and utilizes the NaOH with a low price to replace KOH with the high price, so that the wastes are changed into valuable things to obtain the active carbon with a high additional value for a super capacitor.

The invention discloses a pneumatic type coupling system for preparing large remolded clay and performing one-dimensional consolidation test, which can be used for preparing a large-size cylindrical sample or hollow cylindrical sample of remolded clay in geotechnical engineering, and also can be used for performing one-dimensional consolidation test of a large clay sample. The pneumatic type coupling system comprises a displacement measuring system, a combined pressure cavity, a pore-pressure measuring system, a discharged-water volume measuring system, a pneumatic loading system and an axial tightening member. The pneumatic type coupling system disclosed by the invention has the advantages that the loading is carried out by a pneumatic mode, the pressurization is stable, uniform, measurable and controllable, the loading pressure can be more than 1.6MPa and the defect of difficult application of high pressure in weight loading is effectively overcome; a vertical metal permeable stone is embedded into a rigid and transparent sleeve to form a vertical water discharging channel, so that the defects of single water discharging channel and slow consolidation speed of traditional consolidation equipment are overcome; the pressure cavity of the pneumatic type coupling system is the rigid and transparent sleeve, so that the pneumatic type coupling system has visibility and overcomes the defect of invisibility of a traditional consolidometer.

The invention discloses an invoice batch automatic identification system based on deep learning, and the system comprises an invoice image obtaining module which is used for obtaining an invoice scanning image, carrying out the format conversion of the invoice scanning image, and obtaining and storing an invoice image; then, subjecting the invoice image to straightening processing and normalization processing; using the preprocessing and positioning module for performing inclination correction and digital area positioning on the normalized invoice image; The character cutting module is used for cutting the characters in the digital area to obtain a cut character image; using The character recognition module for carrying out character recognition on the segmented character image through a CNN convolutional neural network; and using the output module for recording the recognized characters to the corresponding positions of the Excel table and carrying out accuracy judgment and manual correction on the characters. According to the invention, the identification of the main information on the invoice can be rapidly and efficiently completed, and the problems of low speed, low efficiencyand high error rate caused by the fact that the invoice can only be managed manually in the past are overcome.